Abstract
Structured link vector model (SLVM) is a representation recently proposed for modeling XML documents, which was extended from the conventional vector space model (VSM) by incorporating document structures. In this paper, we describe the classification approach for XML documents based on SLVM and Support Vector Machine (SVM) in INEX 2007 Document Mining Challenge. The experimental results on the challenge’s data set show that it outperforms any other approach on XML document classification task at the challenge.
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Yang, J., Zhang, F. (2008). XML Document Classification Using Extended VSM. In: Fuhr, N., Kamps, J., Lalmas, M., Trotman, A. (eds) Focused Access to XML Documents. INEX 2007. Lecture Notes in Computer Science, vol 4862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85902-4_21
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DOI: https://doi.org/10.1007/978-3-540-85902-4_21
Publisher Name: Springer, Berlin, Heidelberg
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